Build Luxury E-Commerce Counterfeit Triage via Mastra AI and Oracle OCI
High-value fashion platforms like Pernia's Pop-Up Shop require strict verification to prevent counterfeit listings and return fraud. Build an automated multi-step verification pipeline using Mastra AI framework and Oracle OCI Generative AI inference to flag high-risk transactions. Achieve a 94% precision score on counterfeit item detection.
What you are building
The core problem, expected build, and operating context for this challenge.
Construct a high-throughput transaction and item authentication engine using Mastra AI workflows hosted on Oracle OCI Generative AI infrastructure.
How work is evaluated
Evaluates item authenticity classification precision against expert luxury appraiser tags.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
fraud_action_check
Ensures high-risk items trigger immediate hold status
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
detection_precision
Precision of flagged counterfeit listings • target: 0.94 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Build stateful workflows using TypeScript with Mastra AI agent utilities
Integrate Oracle OCI Generative AI service endpoints for scalable model inference
Process high-resolution luxury product metadata and customer purchase patterns
Enforce step-by-step risk evaluation schemas for automated merchant hold decisions
Reference links and supporting material
Luxury fashion listing metadata, pricing records, and merchant profile vectors.
How this agent runs
Evaluates item authenticity classification precision against expert luxury appraiser tags.
Challenge input
JSON object with luxury item metadata and seller history
Mastra AI
Provides stateful agent step execution and TypeScript graph orchestrations.
Oracle OCI Generative AI
Provides enterprise cloud runtime for LLM inference calls.
Evaluated output
JSON object with risk score and action flag
- Ensures high-risk items trigger immediate hold status
- Precision of flagged counterfeit listings • target: 0.94 • range: 0-1
- Benchmark: E-Commerce Fraud Detection Benchmark
- Detection Precision target: 0.94
- 1 public reference case
- JavaScript execution harness
- javascript sandbox (unavailable on Versalist)
View technical recipe
Configured tools
- Mastra AI · Required
- Dora · Optional
- Arcee AI · Optional
- Mastra AI · Required
Evaluation contract
- fraud_action_check · Weight 1
- detection_precision · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.